Methods and Models in Mathematical Biology Deterministic and Stochastic Approaches
This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models, and model-based analysis of data. The key topics of modern bio...
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Autor Corporativo: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2015.
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Edición: | 1st ed |
Colección: | Lecture Notes on Mathematical Modelling in the Life Sciences.
Springer eBooks. |
Acceso en línea: | Conectar con la versión electrónica |
Ver en Universidad de Navarra: | https://innopac.unav.es/record=b32927046*spi |
Sumario: | This book developed from classes in mathematical biology taught by the authors over several years at the Technische Universität München. The main themes are modeling principles, mathematical principles for the analysis of these models, and model-based analysis of data. The key topics of modern biomathematics are covered: ecology, epidemiology, biochemistry, regulatory networks, neuronal networks, and population genetics. A variety of mathematical methods are introduced, ranging from ordinary and partial differential equations to stochastic graph theory and branching processes. A special emphasis is placed on the interplay between stochastic and deterministic models. |
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Descripción Física: | XIII, 711 p., 239 il., 65 il. col |
Formato: | Forma de acceso: World Wide Web. |
ISBN: | 9783642272516 |